The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …

We performed an experimental review of current diarization systems for the conversational
telephone speech (CTS) domain. In detail, we considered a total of eight different algorithms …

Trained on 680,000 h of massive speech data, Whisper is a multitasking, multilingual
speech foundation model demonstrating superior performance in automatic speech …

The residual neural networks (ResNet) demonstrate the impressive performance in
automatic speaker verification (ASV). They treat the time and frequency dimensions equally …

The VoxCeleb Speaker Recognition Challenges (VoxSRC) were a series of challenges and
workshops that ran annually from 2019 to 2023. The challenges primarily evaluated the …

The objective of this paper is to advance the development of technologies in the fields of
speaker recognition and speaker identification by introducing a large labeled audio …

Despite its broad practical applications such as in fraud prevention, open-set speaker
identification (OSI) has received less attention in the speaker recognition community …

Multimodal learning involves integrating information from various modalities to enhance
learning and comprehension. We compare three modality fusion strategies in person …

Recent advances in bioacoustics combined with acoustic individual identification (AIID)
could open frontiers for ecological and evolutionary research because traditional methods of …

In the field of speaker verification, session or channel variability poses a significant
challenge. While many contemporary methods aim to disentangle session information from …